Bioinformatics Engineer (we have office locations in Cambridge, Leeds & London)

Company Description Genomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives.

By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future. Our mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations. We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.

Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems. We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime – from birth to old age. Job Description We are seeking a Bioinformatics Engineer that will be based in Genomics England Platform DSS squad.

As a Bioinformatics Engineer within the Interpretation Platform, the squad plays a pivotal and vital role in developing and advancing the data platform underpinning our user facing decision support system. Built on AWS services and bespoke python software, the product supports the data life cycle and integration of data from our Bioinformatics Pipelines and other scientific databases, which powers the cancer and rare disease interpretation decision support front ends.

This is a role for someone that loves solving problems in an environment of complex data, making that data accessible at speed, to enable the analysis and interpretation for the purposes of diagnosis, prognosis and treatment of rare disease and cancer. Everyday responsibilities include: Produce high-quality code for high throughput sequencing data analysis, genome analysis and interpretation. Contribute to all testing and deployment stages up to the production environment.

Contribute to discovery tasks during the initial phase of new developments and achieve understanding of early-stage decisions to inform the final software design. Write documentation that will achieve a log of decisions, designs, tests, results etc. that enable full traceability of processes. Be a proactive member of a squad, adopting agile practices, offering subject matter expertise. Ensure adherence to the various standards and accreditations required for both clinical laboratory practice and software delivery.

Skills & Experience for Success: Excellent Python coding skillset. Solid skillset in Bioinformatics, understanding of the standards, data formats and tool chains used in Next Generation Sequencing (NGS) and clinical genomics. Familiarity with NGS tertiary annotation tools and databases. Proficient in Linux, Git, Postgres (or similar RDBMs). Solid expertise of developing production quality algorithms and software to analyse large data sets.

Excellent technical writing skills. Experience of working in agile environments and demonstrable effectiveness working in agile squads. Experience in building code using CI/CD. Desirable skills/experience: Experience working with AWS serverless technologies including lambda, step functions,S3. Experience working with containerised applications (Docker) Qualifications MSc equivalent or higher in Software Engineering, Computer Science, Bioinformatics or equivalent experience.

Additional Information Salary from: £57,700 Closing date for applications  - Friday 25t